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cs.LG2026
Learning Structural Manipulability in Gate-Level Netlists Using Graph Neural Networks
Rupesh Raj Karn, Ozgur Sinanoglu
Gate-level netlists exhibit intrinsic structural properties that influence signal propagation independently of functional simulation. We define a topology-driven structural manipul…
cs.LG2026
Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks
Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu
As graph neural networks (GNNs) become standard tools for critical tasks in circuit design and analysis, their security and privacy risks require careful attention. Here, we presen…